K-12 Network for Advancing AI Literacy

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Empowering K-12 Systems to Shape AI Literacy

K-12 Network for Advancing AI Literacy

Whether your district is starting up or scaling up, the Lawrence Hall of Science at the University of California, Berkeley, meets you exactly where you are. Join a trusted network where your team co-designs strategies that work for real K-12 systems and real K-12 classrooms.

K-12 Network for Advancing AI Literacy

Why Join Our K-12 Network?

Don’t navigate the complex landscape of Artificial Intelligence alone. We help you move beyond reactive, one-size-fits-all approaches.

  • Move Beyond DIY: Avoid the stress of juggling vendor webinars, one-off pilots, and reactive tool roll-outs in isolation.
  • Context-Specific Solutions: Generic, off-the-shelf AI approaches often ignore your unique district context and equity priorities.
  • Purposeful Integration: Build educator, leader, and district capacity to integrate AI into teaching and learning with confidence, equity, and purpose.
  • District Capacity: Leverage a focused, networked approach that blends peer-learning models with hands-on consultation and policy co-design.

Our Program: Features & Impact

Our team designs with and for the people who shape learning conditions: students, educators, leaders, and families. Our work centers real classrooms, capacity-building, equity, and access.

Our purpose is to help K-12 systems build the knowledge, relationships, and approaches that bridge research to practice and make responsible implementation possible.

  • Plan high-level AI policy, strategy, and equity goals to establish your district as an AI leader and align policy with teaching and learning.
  • Co-design your AI implementation plan and share feedback on tool pilots, rubrics, policies, and plans with peers and experts. This delivers a practical, flexible implementation plan for professional learning, procurement, and community rollout.
  • Get tailored support advancing your goals, providing professional learning for staff, and bringing AI into classroom learning to drive structured, meaningful classroom use while replacing uncoordinated tool rollouts.
  • Brainstorm directly with top AI education leaders to vet technology tools, predict future shifts, and safely select tools and build partnerships using cutting-edge industry insights with Berkeley researchers.

Join a Community of Leaders for AI Literacy

AI Network community session

For more information, contact: k12science@berkeley.edu

Meet Our Team

For over 50 years, The Lawrence Hall of Science has been at the forefront of science education. As part of the University of California, Berkeley, we strive to create sustainable change and foster inclusive science learning environments. We firmly believe that every child deserves a robust and meaningful science education throughout their K-12 educational journey. Through collaborative efforts, driven by an equity-centered approach, we aim to build a future where science education is accessible and transformative for all students. We are one of the nation’s few science centers that is part of a top-tier, public research university.

Headshot of Vanessa Lujan, Ph.D.

Vanessa Lujan, Ph.D.

AI K-12 Network co-Director; Director, Center for K-12 Systems, STEM Leadership, and Equity

Vanessa brings deep expertise in K-12 STEM systems change, equity-centered leadership, and professional learning that helps districts bridge from vision to classroom practice. Her work focuses on building district capacity for STEM education while advancing learning environments where all students can see themselves as capable STEM thinkers and problem solvers.

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Headshot of Crystal Menzies, Ph.D.

Crystal Menzies, Ph.D.

Equity Research & Learning Systems Lead

Dr. Crystal Menzies brings a scholar-practitioner perspective rooted in asset-based research, curriculum design, and professional learning to the AI K-12 Network team.

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Headshot of Eric Greenwald, Ph.D.

Eric Greenwald, Ph.D.

AI K-12 Network co-Director; Learning Sciences Researcher

Eric Greenwald, PhD, leads projects that advance research, learning design, and systems change at the intersection of science, math, computational thinking, and AI. In particular, he studies how learning can be designed toward a more robust and equitable socio-technical understanding of AI systems that better positions learners for criticality and agency in a world we are increasingly living together with AI.

Headshot of Sarah Pedemonte

Sarah Pedemonte

Bay Area Science Project Director; Science Teaching & Learning Specialist

Ms. Pedemonte brings many years of experience working with district leadership teams to examine STEM pathways and student learning experiences, opportunities, and outcomes. Her expertise is in supporting pre-service and in-service K-12 educators and leaders to build agency and capacity to support systems change in STEM.

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